{"id":"https://openalex.org/W4312997564","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892199","title":"Analyzing Echo-state Networks Using Fractal Dimension","display_name":"Analyzing Echo-state Networks Using Fractal Dimension","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312997564","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892199"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892199","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":"2161-4407","issn":["2161-4407"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109807295","display_name":"Norbert Michael Mayer","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Norbert Michael Mayer","raw_affiliation_strings":["Advanced Institute of Manufacturing with High-tech Innovations, National Chung Cheng University,Department of Electrical Engineering,Taiwan","Department of Electrical Engineering, Advanced Institute of Manufacturing with High-tech Innovations, National Chung Cheng University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Institute of Manufacturing with High-tech Innovations, National Chung Cheng University,Department of Electrical Engineering,Taiwan","institution_ids":["https://openalex.org/I148099254"]},{"raw_affiliation_string":"Department of Electrical Engineering, Advanced Institute of Manufacturing with High-tech Innovations, National Chung Cheng University, Taiwan","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011260776","display_name":"Oliver Obst","orcid":"https://orcid.org/0000-0002-8284-2062"},"institutions":[{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Oliver Obst","raw_affiliation_strings":["Centre for Research in Mathematics and Data Science, Western Sydney University,New South Wales,Australia","Centre for Research in Mathematics and Data Science, Western Sydney University, New South Wales, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Research in Mathematics and Data Science, Western Sydney University,New South Wales,Australia","institution_ids":["https://openalex.org/I63525965"]},{"raw_affiliation_string":"Centre for Research in Mathematics and Data Science, Western Sydney University, New South Wales, Australia","institution_ids":["https://openalex.org/I63525965"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1687,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45709262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/echo","display_name":"Echo (communications protocol)","score":0.7423356175422668},{"id":"https://openalex.org/keywords/fractal-dimension","display_name":"Fractal dimension","score":0.7188712358474731},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6449416875839233},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.5554747581481934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5059210658073425},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4768748879432678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3649439811706543},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2954097390174866},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22166845202445984},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.13960930705070496},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.07467010617256165},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.05411091446876526}],"concepts":[{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.7423356175422668},{"id":"https://openalex.org/C26546657","wikidata":"https://www.wikidata.org/wiki/Q1412452","display_name":"Fractal dimension","level":3,"score":0.7188712358474731},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6449416875839233},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.5554747581481934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5059210658073425},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4768748879432678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3649439811706543},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2954097390174866},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22166845202445984},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.13960930705070496},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.07467010617256165},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.05411091446876526}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892199","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":"2161-4407","issn":["2161-4407"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W88679132","https://openalex.org/W1274748162","https://openalex.org/W1523400967","https://openalex.org/W1535837316","https://openalex.org/W1572357197","https://openalex.org/W1949131963","https://openalex.org/W1982840091","https://openalex.org/W1989312953","https://openalex.org/W2002213454","https://openalex.org/W2022175477","https://openalex.org/W2028081295","https://openalex.org/W2028324893","https://openalex.org/W2038625427","https://openalex.org/W2041155726","https://openalex.org/W2042489792","https://openalex.org/W2054217036","https://openalex.org/W2056510083","https://openalex.org/W2058247769","https://openalex.org/W2065220612","https://openalex.org/W2094704186","https://openalex.org/W2118456123","https://openalex.org/W2128904261","https://openalex.org/W2158270878","https://openalex.org/W2161522250","https://openalex.org/W2170131790","https://openalex.org/W2268995463","https://openalex.org/W2782648016","https://openalex.org/W2810544457","https://openalex.org/W2911940095","https://openalex.org/W3100030951","https://openalex.org/W3100133647","https://openalex.org/W4205233157","https://openalex.org/W6603568846","https://openalex.org/W6747632358","https://openalex.org/W6752867201","https://openalex.org/W6884808458","https://openalex.org/W6945068569"],"related_works":["https://openalex.org/W2394117909","https://openalex.org/W2896054214","https://openalex.org/W2355197944","https://openalex.org/W2017118246","https://openalex.org/W2354661593","https://openalex.org/W2382240109","https://openalex.org/W2368475191","https://openalex.org/W2391311021","https://openalex.org/W2389188284","https://openalex.org/W2026209355"],"abstract_inverted_index":{"This":[0,116],"work":[1],"joins":[2],"aspects":[3],"of":[4,27,54,63,71,80,97,111],"reservoir":[5,135],"optimization,":[6],"information-theoretic":[7],"optimal":[8,85],"encoding,":[9],"and":[10,121,134],"at":[11],"its":[12],"center":[13],"fractal":[14,35,46,65,95,119],"analysis.":[15],"We":[16,59,76],"build":[17],"on":[18],"the":[19,24,52,57,78,94,98,109,114],"observation":[20],"that,":[21],"due":[22],"to":[23,69,83,102,108],"recursive":[25],"nature":[26],"recurrent":[28,72,130],"neural":[29,73,131],"networks,":[30],"input":[31,101],"sequences":[32],"appear":[33],"as":[34],"patterns":[36,43],"in":[37,56,113],"their":[38],"hidden":[39,103],"state":[40,104],"representation.":[41],"These":[42],"have":[44],"a":[45],"dimension":[47,66,96,120],"that":[48,93],"is":[49,124],"lower":[50],"than":[51],"number":[53,110],"units":[55,112],"reservoir.":[58],"show":[60],"potential":[61],"usage":[62],"this":[64],"with":[67],"regard":[68],"optimization":[70],"network":[74,122,132],"initialization.":[75],"connect":[77],"idea":[79],"\u201cideal\u201d":[81],"reservoirs":[82],"lossless":[84],"encoding":[86],"using":[87],"arithmetic":[88],"encoders.":[89],"Our":[90],"investigation":[91],"suggests":[92],"mapping":[99],"from":[100],"shall":[105],"be":[106],"close":[107],"network.":[115],"connection":[117],"between":[118],"connectivity":[123],"an":[125],"interesting":[126],"new":[127],"direction":[128],"for":[129],"initialization":[133],"computing.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
